Learn Entire Operation Research With Practical Examples

LPP, Assignment & Transportation Problems, Game & Decision Theory, CPM, PERT, Queuing Theory, Probability, Sequencing

What you'll learn

Various Techniques of Quantitative Techniques with their Practical Applications in Business and Day to Day Activities

Various Techniques of Operation Research with their Practical Applications in courses like CA, CMA etc.

Various Techniques of Optimization Techniques with their Practical Applications in courses like BCA, MCA etc.

Various Techniques of Decision Science with their Practical Applications in courses like BBA, MBA etc.

Requirements

Positive Mindset towards Learning is required

Description

In this Course, I will be covering entire Quantitative Techniques | Decision Science | Operation Research | Optimization Techniques. The topics which I am going to cover in this course are1) Assignment Problems 2) Transportation Problems 3) Decision Theory 4) Game Theory 5) Queuing Theory 6) Linear Programming Problems (LPP) 7) Sequencing 8) Critical Path Method (CPM) 9) Project Evaluation & Review Technique (PERT) 10) Probability 11) Probability Distribution 12) Simulation 13) Markov ChainAbove topics cover "Hungarian Method, North-West Corner Method, Matrix Minima Method, Vogal Approximation Method, Monte Carlo Simulation Technique, Network Diagram, MODI Method, Stepping Stone Method, Principal of Dominance, Laplace Criteria, Maxmin Criteria, Minmax Criteria, Maxmax criteria, Hurwicz Alpha Criteria, Regret Criteria, Conditional Probability, Simple Probability, Binomial Distribution, Poissions Distribution, Normal Distribution, Least Cost Method, Solution of LPP, Formulation of LPP, Saddle Point Method etc"This course is beneficial for MBA, BBA, MCA, BCA, CA, CMA, BTech, BE, BCom, Diploma Engineering etc streams. This course is also applicable for learning decision making skills in day to day life business activities.This course will help in understanding the best techniques for finding optimum utilization of resources, optimum transportation schedule, optimum resource assignment schedule, optimum forecasting, optimum scheduling techniques, optimum sequencing schedule etc.No any software required for this learning this course. Only the mindset of learning is required.

Overview

Section 1: Assignment Theory (Assignment Problems)

Lecture 1 Assignment Theory (Assignment Problems) - Lecture 1

Lecture 2 Assignment Theory (Assignment Problems) - Lecture 2

Lecture 3 Assignment Theory (Assignment Problems) - Lecture 3

Section 2: Transportation Theory (Transportation Problems)

Lecture 4 Transportation Theory (Transportation Problems) - Lecture 1

Lecture 5 Transportation Theory (Transportation Problems) - Lecture 2

Section 3: Linear Programming Problems (LPP)

Lecture 6 LPP - Lecture 1

Lecture 7 LPP - Lecture 2

Lecture 8 LPP - Lecture 3

Lecture 9 LPP - Lecture 4

Lecture 10 LPP - Lecture 5

Lecture 11 LPP - Lecture 6

Lecture 12 LPP - Lecture 7

Lecture 13 LPP - Lecture 8

Lecture 14 LPP - Lecture 9

Section 4: Decision Theory

Lecture 15 Decision Problems - Lecture 1

Lecture 16 Decision Problems - Lecture 2

Section 5: Game Theory

Lecture 17 Game Theory - Lecture 1

Lecture 18 Game Theory - Lecture 2

Section 6: Simulation

Lecture 19 Simulation Lecture

Section 7: Sequencing

Lecture 20 Sequencing - Lecture 1

Lecture 21 Sequencing - Lecture 2

Lecture 22 Sequencing - Lecture 3

Section 8: Markov Chain

Lecture 23 Markov Chain Lecture

Section 9: Critical Path Method (CPM) || Project Evaluation & Review Technique (PERT)

Lecture 24 CPM & PERT - Lecture 1

Lecture 25 CPM & PERT - Lecture 2

Section 10: Queuing Theory

Lecture 26 Queuing Theory - Lecture 1

Lecture 27 Queuing Theory - Lecture 2

Section 11: Probability

Lecture 28 Probability - Lecture 1

Lecture 29 Probability - Lecture 2

Lecture 30 Probability - Lecture 3

Lecture 31 Probability - Lecture 4

Section 12: Probability Distribution

Lecture 32 Probability Distribution - Lecture 1

Lecture 33 Probability Distribution - Lecture 2

Lecture 34 Probability Distribution - Lecture 3

Lecture 35 Probability Distribution - Lecture 4

This course is savior for all students who are perusing MBA, MCA, CA, CMA, BBA, BCA, BCom, 11th, 12th etc. Students who are having any of these subjects, like, Quantitative Techniques or Operation Research or Decision Science or Optimization Techniques etc in their curriculum, should take this course. It will be really beneficial for those students. This course is also beneficial for learning Optimum Decision making Skills in Day to Day Business Activities. This course will also help in learning various techniques for increasing productivity with reduced cost.